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Attentive Content-Based Image Retrieval
2016In this chapter, we show how visual attention can enhance the performance in object recognition. This proposition is inspired by the idea introduced in Neisser (Cognitive psychology. Appleton-Century-Crofts, New York, 1967), which indicates that object recognition in human perception consists of two steps: an “attentional process selects the region of ...
Dounia Awad +2 more
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Content Based Image Retrieval Technique
2008A retrieval methodology which integrates color, texture and shape information is presented in this paper. Consequently, the overall image similarity is developed through the similarity based on all the feature components. Alternatively to known CBIR systems, we compute features only in the finite number of extracted ROIs.
Ryszard S. Choraś +2 more
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Content-based image retrieval methods
Programming and Computer Software, 2009Creation of a content-based image retrieval system implies solving a number of difficult problems, including analysis of low-level image features and construction of feature vectors, multidimensional indexing, design of user interface, and data visualization.
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Multistage Content-Based Image Retrieval
2017Content based image retrieval has found its application in many areas like government, academia and hospitals. A new image retrieval technique is presented in this paper, which retrieve similar images in stages. The images are first retrieved based o n their colour feature similarity.
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Colorectal cancer statistics, 2023
Ca-A Cancer Journal for Clinicians, 2023Rebecca L Siegel +2 more
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